CAI1020 Week Seven: AI in Healthcare

  • 230 million people globally ask health questions on ChatGPT each week
  • GPT-5.5 Instant responses were rated higher than physician-written responses
  • 71% reduction in factual issues compared to earlier versions.
  • AI has no way to examine the patient physically, cannot order tests or prescribe treatments, and is not accountable to any regulatory body

    • 1. The Scale and Stakes of AI in Healthcare

  • access to medical knowledge is not equally distributed.
  • AI can give anyone access to specialized medical information
  • An AI system that systematically gives bad advice to 230 million weekly users causes a catastrophe.

    • Medical imaging interpretation and pathology.

    Differential diagnosis assistance.

    Drug interaction identification.

    Symptom triage.

    Current Limitations

    Distributional shift.

    Privacy and data sensitivity.

    Hallucination in generative AI.

    The diagnosis-to-treatment gap.

    The Accountability Problem

    2. Informed Consent and the Black Box

    3. Psychiatry and Mental Health

    4. Toward a Framework for Healthcare AI

    1. What is the decision?

    2. Is there meaningful consent?

    3. Is there accountability?

    4. Is the AI interpretable?